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Tack

#24 of 29 in AI Photo Culling Software

Tack: A focused desktop culler with local eye detection, sharpness scoring, and Lightroom export. Ranked #24 of 29 in AI Photo Culling Software by our editors (6.6/10); pricing: Paid; best for wildlife photographers needing offline eye detection.

6.6/10Editor score
Tack6.6 Visit Tack

At a glance

  • Editor score
    6.6 / 10
  • Pricing
    Paid
  • Best for
    Wildlife photographers needing offline eye detection
  • Free plan
    No
  • AI quality scoring
    Yes
  • Facts checked
    20 Sep 2026
Tack screenshot
  • Where it wins

    • Detects bird and animal eyes locally without an internet connection
    • Supports RAW and JPEG files across Mac, Windows, and Linux
    • Exports XMP sidecars for Adobe Lightroom workflows
  • Where it doesn't

    • Focused on bird and wildlife culling rather than broad photo review
    • No free plan is available
    • Optional updates after the first year are paid

Our verdict on Tack

Tack is a desktop AI photo-culling application designed for bird and wildlife photographers. It processes RAW and JPEG images locally, detects bird and animal eyes, scores sharpness around the subject, and supports keep-or-reject decisions. The application runs on macOS, Windows, and Linux, making it suitable for photographers who want offline processing across desktop platforms. Its focus is clear: evaluating wildlife images rather than serving as a general-purpose photo management suite.

The culling workflow combines filmstrip review, rating controls, keep and reject actions, keyboard shortcuts, zoom, and quick preview modes. Subject-region sharpness scoring is particularly relevant for wildlife sequences, where eye detail and focus can determine which frames are worth retaining. AI bird and animal eye detection adds another review signal, while local processing keeps the analysis on the desktop. Tack also supports all RAW formats listed in its plan details, alongside JPEG files.

Adobe Lightroom integration comes through XMP sidecar export, allowing culling decisions and ratings to move into an existing Lightroom workflow. The published license structure is a one-time purchase: the Tack plan includes one year of updates and support, and the application works indefinitely after that first year. Optional paid updates are available afterward. Choose Tack if offline processing, wildlife eye detection, subject sharpness scoring, and Lightroom export match your workflow. Photographers seeking a broader culling focus beyond bird and animal imagery may prefer a less specialized tool.

Your product? Our editors can test Tack in depth and publish a review, labelled as paid · from $149/mo →

Tack pricing

Plans Paid No free plan — trial or paid only. Prices checked 20 Sep 2026.
See plans on wildlifecull.com

All 2 Tack plans and prices →

Tack fact sheet

Free planNo
Paid fromNot verified
AI quality scoringYes
Subject detectionYes
Duplicate detectionNot verified
RAW photo supportYes
Blur detectionNot verified
Closed-eye detectionNot verified
Lightroom exportYes
Money-back guarantee30 days
DeploymentDesktop
PlatformsWindows, macOS, Linux
SupportEmail
Built forSolo, Small business (editorial estimate)
Integrations1 integrations: Adobe Lightroom
PricingPaid (source)
Websitewildlifecull.com
Facts checked20 Sep 2026

Tack integrations

Tack lists 1 integrations on its own site.

  • Adobe Lightroom

Alternatives to Tack

See all Tack alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Tack 6.6/10

Tack is listed in our AI Photo Culling Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

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